Quality Assurance Engineer

We are looking for a highly skilled Tooling and AI Automation Engineer (SDET-2/3) to join our Automation team—not in a traditional application development capacity, but as a specialist focused on building internal tools, test intelligence platforms, dashboards, and AI-driven test enablement frameworks.

Required Skills

• Solid Proficiency in Java/Python.

• Strong hands on experience in API Automation (Rest Assured) and UI Automation/Mobile Automation.

• String experience in having built Automation Frameworks from scratch.

• Working knowledge or experience with Mabl, TestRigor, Cursor or any AI automation tool.

• Strong understanding of test automation frameworks (e.g., Pytest, Playwright, Cypress, Selenium). • Experience integrating tools with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).

• Familiarity with databases (SQL, NoSQL) and working with test data at scale.

• Experience in building REST APIs or microservices for internal use.

• Hands on experience in Performance Testing (for 8+ years of experience candidates)

• Experience with GenAI or LLM integration for test case generation or failure analysis.

• Working knowledge of AI/ML libraries like Scikit-learn, TensorFlow, or transformers for testing-centric use cases.

Key Responsibilities

• Test Automation Development: Build and maintain robust, scalable test automation frameworks for API, web, and mobile platforms.

• Design, develop, and maintain internal tools that enhance automation capabilities, CI/CD integration, and test data visualization.

• Build intelligent dashboards for real-time reporting of test results, release quality metrics, and defect analytics.

• Develop AI/ML-based solutions to optimize test case prioritization, test suite reduction, flakiness prediction, and self-healing scripts.

• Integrate tools and dashboards with CI pipelines (e.g., Jenkins, GitHub Actions) and test frameworks (Selenium, Playwright, etc.).

• Work closely with SREs, and DevOps teams to ensure tools are scalable, performant, and well-adopted.

• Create APIs, microservices, or CLI tools that support testing workflows, artifact management, and defect traceability.

• Continuously evaluate new AI/ML advancements and incorporate them into test engineering practices

• Good in Debugging, Test planning and problem solving.

Why Join Us

• Shape the future of intelligent test engineering.

• Build products for internal users—fast iteration, direct feedback, and impactful results.

• Work in a culture that values automation, data-driven decisions, and innovation